Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling.
Michael KölleAfrae AhouziPascal DebusElif ÇetinerRobert MüllerDaniëlle SchumanClaudia Linnhoff-PopienPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- one class support vector machines
- intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- unsupervised anomaly detection
- network intrusion detection
- detecting anomalous
- computer security
- intrusion detection system
- detect anomalies
- behavior analysis
- evolutionary algorithm
- neural network
- malware detection
- object recognition
- pattern recognition
- image processing